title: Computational analysis of high throughput sequencing data.
abstract: The advent of High Throughput Sequencing (HTS) methods opens new opportunities for the analysis of genomes and transcriptomes. While the sequencing of a whole mammalian genome took several years at the turn of this century, today it is only a matter of weeks. The race towards the thousand-dollar genome is fueled by the - ethically challenging - idea of personalized genomic medicine. However, these methods allow new and interesting insights in many aspects such as the discovery of novel noncoding RNA classes, structural variants, or alternative splice sites to name a few. Meanwhile, several methods for HTS have been introduced to the markets. Here, an overview on the technologies and the bioinformatics analysis of HTS data is given.
authors.affiliation: Interdisciplinary Center for Bioinformatics and The Junior Research Group for Transcriptome Bioinformatics in the LIFE Research Cluster, University Leipzig, Leipzig, Germany. steve@bioinf.uni-leipzig.de
authors.forename: Steve
authors.initials: S
authors.lastname: Hoffmann
mesh_terms: D000818:Animals; D001483:Base Sequence; D002874:Chromosome Mapping; D019295:Computational Biology / Q000379:methods*; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis; D017422:Sequence Analysis, DNA / Q000379:methods*; D013223:Statistics as Topic